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Data Governance and Project Management Senior Associate

J.P. Morgan

Greater London

On-site

GBP 50,000 - 75,000

Full time

4 days ago
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Job summary

A leading financial services firm in Greater London is hiring a Data Governance and Project Management Senior Associate to oversee data governance and project coordination. The role entails supporting project delivery, ensuring data integrity, and collaborating with teams to implement governance strategies. Candidates should possess experience in data governance and project coordination, alongside a strong understanding of data privacy and Python programming. This position provides an opportunity to contribute to data management processes in a dynamic environment.

Qualifications

  • Experience in data governance, project coordination, or business analysis in a regulated, data-driven environment.
  • Familiarity with data access and quality control frameworks.
  • Working knowledge of Python for technical support and control implementation.
  • Understanding of data privacy, PII controls, and regulatory compliance.
  • Business analysis skills, including documentation of data flows and requirements.
  • Strong communication and stakeholder engagement skills.

Responsibilities

  • Support project planning and delivery for governance and data initiatives.
  • Implement and maintain data access policies, quality controls, and compliance processes.
  • Gather requirements, map processes, and write user stories.
  • Use Python for testing and technical controls.
  • Document data flows and ETL logic.
  • Collaborate with governance and data teams.
  • Assist in tracking governance and project-related requests.
  • Maintain inventory of data assets and entitlement policies.
  • Participate in governance and project meetings.

Skills

Data governance experience
Project coordination
Business analysis
Python knowledge
Data privacy understanding
Communication skills
Job description

Empower secure, data-driven innovation—support governance, compliance, and project delivery in a collaborative, fast-paced engineering environment.

As a Data Governance and Project Management Senior Associate in the Security Services Data Modelling and Engineering Team, you will play a key supporting role in the management of data governance, project coordination, and business analysis activities. Working closely with the VP Governance Lead and Department Head, you will help ensure the integrity, privacy, and quality of reusable datasets, and support the planning and delivery of governance and data-related projects across the organization.

Job responsibilities
  • Support project planning, tracking, and delivery for governance and data initiatives; help maintain project roadmaps and ensure timely achievement of milestones.
  • Assist in implementing and maintaining data access policies, quality controls, and compliance processes, including sensitive and PII data.
  • Gather requirements, map processes, and write user stories to support governance and project objectives.
  • Use Python to assist with testing and technical controls, supporting data privacy, quality, and governance requirements.
  • Help document data flows, ETL logic, and support the registration of datasets and pipelines in relevant catalogues and consoles.
  • Collaborate with the VP Governance Lead and Department Head to support governance, project management, and business analysis activities.
  • Assist in the intake, prioritization, and tracking of governance and project-related requests.
  • Help maintain inventory of data assets and associated entitlement policies.
  • Work with Data Engineering and Data Modelling & Architecture teams to ensure governance and project requirements are embedded throughout the product lifecycle.
  • Participate in governance and project meetings, and cross-functional forums as a supporting team member.
  • Contribute to continuous improvement in governance, data quality, and operational efficiency.
Required qualifications, capabilities, and skills
  • Experience in data governance, project coordination, or business analysis in a regulated, data-driven environment.
  • Familiarity with data access and quality control frameworks.
  • Working knowledge of Python for technical support and control implementation.
  • Understanding of data privacy, PII controls, and regulatory compliance.
  • Business analysis skills, including documentation of data flows and requirements.
  • Strong communication and stakeholder engagement skills
Preferred qualifications, capabilities, and skills
  • Experience in financial services or large enterprise data environments.
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